Senior GenAI (Agentic) Engineer Job at NorthBay

Senior Machine Learning Engineer

We’re seeking a Senior Machine Learning Engineer (P50) to join our new GenAI Mod...

Location

Singapore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles
Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML
Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra
Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype
Comfort working in fast-paced, experimental environments with evolving direction
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience

Job Responsibility

Build and apply advanced GenAI models
Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data
Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches
Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments
Prototype and experiment quickly
Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences
Run experiments, collect feedback, and iterate fast to validate impact
Design and implement evaluation methods for quality, groundedness, and user value
Collaborate and contribute
Work closely with peers across ML, engineering, and product teams to bring new ideas to life

What we offer

Health and wellbeing resources
Paid volunteer days

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Professional AI engineering experience
Background in Software Engineering with Python
Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
Working with vector databases for embedding and indexing
Strong experience with cloud platforms
Strong experience with API design and frameworks like FastAPI or Flask
Solid experience with relational databases and SQL
Interest in expanding your knowledge into GenAI and machine learning
Excellent communication skills and the ability to work well in a collaborative team environment

Job Responsibility

Experiment with POCs to find solutions for real-world problems using Large Language Models
Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
Build and deploy Agentic LLM-based solutions with LangGraph
Familiar with different multi agent system patterns
Build and deploy LLM-based solutions using RAG
Familiar with different types of databases: Relational, Graph etc
Design and optimise APIs using Python and FastAPI to serve AI solutions
Familiar with GCP ecosystem and Cloudrun
Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Senior AI Engineer

We are seeking an experienced Senior Python Software Engineer (Senior AI Develop...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience
Several years of experience in AI and Machine Learning development, ideally within Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Analytical mindset and strong problem-solving capabilities
Polish & English speaker

Job Responsibility

Design, develop, and integrate AI/ML solutions, with a particular focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces
Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases
Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems
Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services
Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment
Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation
Evaluate and integrate open-source and proprietary LLMs, embeddings, and vector databases
Optimize prompt engineering strategies and implement orchestration tools (e.g., LangChain, MCP) to enable complex task execution
Build robust model evaluation frameworks, A/B testing environments, and experiment tracking for iterative development
Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent)

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Fulltime

Senior Principal Cloud Developer

The role involves designing and building innovative Agentic AI applications and ...

Location

United States , San Jose

Salary:

157500.00 - 361500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

10-15 years of experience in developing highly scalable cloud and cloud-native applications using technology stacks, architecture, design, development, and support
at least one year of recent multi-agent Agentic and RAG GenAI Software Development experience applied to Networking and/or Observability domains
experience developing Network Observability software for large scale Network Monitoring, Network Performance, Network Configuration or Network Capacity Management products
deep understanding and experience in Networking Protocol and Networking Best Practices for Enterprise and Service Provider networks
proven skills and programming experience in Golang, scalable concurrent processing, REST, Data Caching Services, DB schema design and data access technologies
experience in building, orchestrating, and deploying highly scalable REST based stateless APIs/web services for web applications in Kubernetes environment
familiarity with code versioning tools such as Git
knowledge of Network and NetFlow Logs processing and indexing
ability to communicate with senior Executives and with customers

Job Responsibility

design and build large scale distributed systems
apply best practices for high availability, scalability, resilience, performance, and security requirements in the cloud
transition proof-of-concept implementations into R&D teams to accelerate new product delivery
create technical content such as designs, specifications, and initial software implementations
mentor less-experienced staff members
collect product feedback from field interactions to provide input into Engineering and Product Management
maintain knowledge of OpsRamp SaaS product and roadmap, as well as competition
collaborate with product team to translate functional requirements into technical solutions
develop monitoring solutions using tools and services that are part of the cloud infrastructure
facilitate CI/CD by integrating development processes

What we offer

comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
personal and professional development programs
unconditional inclusion and flexibility to manage work and personal needs

Fulltime

New

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Slovakia

Salary:

3700.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures
Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end
Define technical specifications directly from business goals
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks, and monitoring strategies
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices
Embrace and drive an iterative, agile development process
Support, maintain, and evolve your components post-launch
Document your systems and learnings to enable efficient collaboration within the team

What we offer

Stock options
Comprehensive benefits package
$1,500 professional education budget on an annual basis
Employee referral bonus of up to $3,000
Company performance bonus
Restricted Stock Units or Stock Options
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer

Fulltime

New

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Czechia

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers
Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions
Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch
Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers
Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight
Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach
Leader Development Program
$1,500 professional education budget
Employee Assistance Program

New

Senior GenAI Engineer

N-iX is a global software solutions and engineering services company. We are loo...

Location

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

5+ years of experience as a backend engineer
Strong proficiency in Python (FastAPI, Django, or similar frameworks)
Hands-on experience with LLM-based systems (chatbots, assistants, agents)
Experience with prompt engineering and agentic workflows
Solid experience with RAG architectures, including chunking and reranking
Experience with vector databases
Strong understanding of backend system design and scalability
Experience with Kubernetes and cloud-native architectures
Experience with PostgreSQL

Job Responsibility

Design, build, and maintain backend services primarily in Python (with Go or Rust as a plus)
Integrate and orchestrate LLMs for chat and agentic workflows
Design and improve prompt engineering, prompt chaining, and tool/function calling
Build data ingestion pipelines (parsing, normalization, chunking, enrichment)
Implement and optimize RAG pipelines including embeddings, vector search, and reranking
Work with PostgreSQL and vector databases (e.g., Qdrant)
Develop scalable and reliable systems running on Kubernetes
Contribute to system scalability and performance as well as bug fixing and stability
Ensure observability, reliability, and clean engineering practices in production systems

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Senior Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States

Salary:

116000.00 - 182000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

4–6 years of experience in software engineering, systems integration or workplace technology development, with a focus on automation or scripting
Proficiency in one or more programming/scripting languages (Java, Go, Python, JavaScript/Apps Script, Bash, PowerShell) and comfortable with RESTful APIs, webhooks, and integration frameworks
Familiarity with SaaS platforms (Google Workspace, Slack, Zoom, Atlassian) and interest in agentic/AI workflows (LLMs, agents, prompt pipelines)
Understanding of IAM/SSO (Okta, SAML/OIDC/SCIM) or a willingness to grow in this area
Experience or curiosity about CI/CD, workflow orchestration, and building self-service delivery models that leverage agents or automation
Strong troubleshooting, documentation and cross-functional communication skills
A growth mindset: you embrace learning new AI technologies, care about user experience, and seek to improve systems through intelligent workflows
Interest in building agentic flows (for example: bots that triage tickets, summarize documents, assist user tasks) and integrating them responsibly into workplace systems

Job Responsibility

Design, build, and maintain scripts, APIs, and workflow automations that power key workplace systems — collaboration tools (Google Workspace, Slack, Zoom, Atlassian) and identity platforms (Okta)
Develop lightweight services or integrations that connect collaboration, GenAI-tools (OpenAI, Claude, Gemini) and internal systems, enabling agentic flows (e.g., virtual assistants, workflow agents) that reduce manual work and improve user experience
Implement monitoring, logging and observability for automation and AI workflows
troubleshoot issues and uncover opportunities for reliability, scalability, and cost-efficiency
Contribute to the evolution of secure onboarding, off-boarding, and mover workflows across access, permissions and SaaS tools — with automation and safe agentic handoffs where appropriate
Collaborate with IT, Security, and People teams to ensure identity, data, and compliance standards (SSO, DLP, classification) are deeply embedded through automation and script-driven guardrails
Participate in pilot projects for new AI and productivity capabilities: integrate LLMs & agents, track usage/adoption metrics, build flows that assist users (e.g., knowledge-agent, document summarizer)
Contribute to the code-review process, documentation of shared libraries for workflows/agents, and build a library of integration templates for reuse across the team
Partner with senior engineers to modernize workplace systems through scalable architecture, API-first design, and intelligent agentic workflows

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior GenAI (Agentic) Engineer

NorthBay

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 05, 2026

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