Senior Software Engineer: Data Engineering, GCP, GenAI Job at Wells Fargo (Hyderabad)

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
9+ years of experience in AI/ML engineering or related roles
3+ years of experience in Generative AI with team leadership responsibilities
Proven track record of production-grade ML and GenAI model development and deployment
Programming: Python (preferred)
GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism

Job Responsibility

Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
Work closely with cross-functional teams to gather requirements and deliver high-quality solutions

What we offer

Competitive salary aligned with market standards
Opportunities for professional development and skill enhancement
A collaborative and innovative work environment

Fulltime

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 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

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

Senior AI Software Engineer

We are looking for a Senior AI Software Engineer to help build and evolve AI-pow...

Location

Israel , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience
At least 5 years of professional experience as a software engineer building and operating production systems
Experience in designing and deploying end-to-end GenAI solutions
Solid understanding of software engineering fundamentals, including data structures, algorithms, testing, and version control
Ability to collaborate effectively across teams and communicate complex technical concepts clearly
Experience building cloud-based services on platforms such as Azure, AWS, or GCP

Job Responsibility

Design, develop, and maintain cutting-edge AI technologies and products within the Office of the CTO, from early prototypes to production-grade systems
Build and evolve AI agent-based architectures, including multi-agent workflows and tool-using agents
Apply advanced LLM design patterns to improve accuracy, robustness, and safety of LLM-powered systems, including prompt engineering, flow engineering, Retrieval-Augmented Generation (RAG), self-review, ReAct, and guardrails
Write high-quality, secure, and maintainable code primarily in Python, following modern software engineering best practices
Collaborate with cross-functional teams, including product, research, and security, to define requirements and deliver end-to-end AI solutions
Identify and resolve reliability, performance, and security issues in AI-enabled services
Contribute to architecture and design reviews, ensuring solutions meet security, privacy, compliance, and responsible AI requirements
Mentor other engineers and contribute to a culture of engineering excellence and continuous learning

Fulltime

Senior AI Engineer

Senior AI Engineer – (Manager) BIP xTech. Role Purpose: As a Senior AI Engineer,...

Location

United Kingdom , London

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

3+ years’ experience delivering AI and ML solutions in production environments
Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production
Strong Python engineering skills, with a focus on quality, testing, and maintainability
Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals
Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP)
Strong understanding of security-by-design, including access control, secrets management, and secure networking
Ability to align AI solutions with governance, compliance, and Responsible AI requirements
Proven experience leading delivery and coordinating multidisciplinary engineering teams

Job Responsibility

Design, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems
Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving)
Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management
Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration
Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations
Embed monitoring, evaluation, and continuous improvement across AI solutions
Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms
Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches
Build strong relationships with clients and partners, acting as a trusted technical advisor

What we offer

Hybrid working
Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence
A culture that encourages innovation, collaboration, and ownership

Fulltime

ML Engineer Senior - GenAI Solutions

As a Senior Machine Learning Engineer at NTT DATA, you will work alongside exper...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

At least 5 years of production experience working in Data Science or Software Engineering
Deep knowledge of math, probability, statistics and algorithms
At least 6/12 months of experience in Generative AI deployment and underlying architecture handling
Vector Database knowledge is well appreciated
Understanding of data structures, data modeling and software architecture
Fluent in a at least two mainstream programming language (Python, Scala, Java, C++)
Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers
Strong knowledge of Spark, Databricks is a strong plus
Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus
Deep knowledge with machine learning frameworks (such as Keras or PyTorch)

Job Responsibility

Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-premise GenAI architectures and MLOps
Leverage a strong mathematical background
Work on classification, information retrieval, clustering and optimization problems
Establish scalable, efficient and automated processes for large-scale data analysis
Contribute to model development, model validation and model implementation
Identify business opportunities
Design and create new data pipelines from scratch, from experiments to production deployment
Manage multiple projects
Lead ML Engineers
Connect with stakeholders

Fulltime