Ai Tech Lead Job at Apex Systems (Columbia)

AI Tech Lead

We're looking for a Lead AI Engineer to drive Fever's company-wide AI transforma...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases)
Deep, hands-on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine-tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar)
Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads
Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals
Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers

Job Responsibility

Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there
Build and lead small, high-performance specialist teams — embedding with business stakeholders to ship AI products end-to-end, from problem framing to production
Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes rather than benchmarks — including high-volume, low-latency production workflows
Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long-term maintainability
Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity
Act as a trusted advisor to senior leadership across business domains, translating AI capabilities into concrete strategy and managing expectations on what's feasible, when, and at what cost

What we offer

Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company
Opportunity to have a real impact in a high-growth global category leader
A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options plan
40% discount on all Fever events and experiences
Based in Madrid, with a home office friendly setup
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English / Spanish lessons
Wellhub membership
Possibility to receive in advance part of your salary by Payflow

Fulltime

AI Tech Lead

As a Tech Lead, you define the technical direction and architecture behind AI-dr...

Location

Austria

Salary:

Not provided

Radancy

Expiration Date

Until further notice

Requirements

Strong experience building and operating backend or platform systems in production
Hands-on experience with LLMs, agents, and patterns like RAG and orchestration
Proficiency in a backend/systems language (e.g. Scala or Rust)
Experience collaborating with Data Science teams using Python
Experience running services on AWS (Kubernetes/EKS preferred)
Familiarity with platforms like AWS Bedrock and/or Vertex AI
Solid system design skills (distributed systems, state, fault tolerance)
Ability to lead technically without direct line management

Job Responsibility

Lead the design, delivery, and operation of AI-driven services
Architect and scale production-ready AI systems using large language models and agent frameworks
Partner with Data Science and Engineering to turn experiments into robust, scalable systems
Own service reliability, performance, security, and scalability
Shape the technical roadmap by identifying improvements and surfacing risks early

What we offer

Ownership of high-impact AI initiatives with real customer impact
A modern stack: Scala, Rust, Python, AWS EKS, Bedrock, Vertex AI
The chance to shape how AI systems are built and operated at scale
Collaboration with experienced engineers, data scientists, and product leaders

AI Tech Lead

Addepto is a leading AI consulting and data engineering company that builds scal...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

19320.00 - 28560.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams
Proficiency in developing ML algorithms from scratch to production deployment
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
High proficiency in English (C1 level)
Excellent communication skills and consulting experience with direct interaction with clients
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)
Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Job Responsibility

Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives
Lead the design of AI solution architectures that meet complex business goals and drive innovation
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills
Understand clients’ needs and translate business problems into data science problems
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

AI Tech Lead / AI Architect

The AI Tech Lead / Architect will design and implement enterprise-grade AI solut...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years software engineering/architecture experience
2+ years delivering AI/GenAI/ Agentic AI solutions in production
Strong architecture skills: distributed services, APIs, integration, security, and reliability
Hands-on experience with RAG and agentic/workflow orchestration patterns
Strong understanding of multi-agent systems, agent orchestration, and coordination patterns
Experience working with LLMs or AI reasoning systems, including managing model limitations and risks
Solid background in enterprise software engineering, APIs, and system integration
Strong understanding of Agentic AI Cognitive Frameworks
Strong understanding of Architectural Components of Agentic AI systems
Python, production-grade engineering practices

Job Responsibility

Multi-agent architecture & workflow orchestration: Define how agents work together (roles, shared context, coordination) and design orchestrated agent workflows for real business processes
Reusable patterns (avoid one-offs): Establish standard reference patterns and starter implementations so teams don’t build bespoke, hard-to-maintain AI solutions
Governance & compliance built-in: Embed practical controls (human-in-the-loop, approvals where needed) and ensure privacy/security expectations are met for sensitive/client data
Observability & production readiness: Ensure solutions have monitoring/telemetry and meet production standards for reliability and operational support
Enterprise integration & access control: Integrate agents with enterprise platforms/data sources and enforce entitlements/least-privilege access to prevent unintended exposure
Technical leadership & translation: Guide engineering teams, act as SME, and translate business objectives into scalable AI architecture that delivers measurable outcomes

AI Tech Lead / AI Architect

The AI Tech Lead / AI Architect will be responsible for designing and scaling en...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years software engineering/architecture experience
2+ years delivering AI/GenAI/ Agentic AI solutions in production
Strong architecture skills: distributed services, APIs, integration, security, and reliability
Hands-on experience with RAG and agentic/workflow orchestration patterns
Strong understanding of multi-agent systems, agent orchestration, and coordination patterns
Experience working with LLMs or AI reasoning systems, including managing model limitations and risks
Solid background in enterprise software engineering, APIs, and system integration
Strong understanding of Agentic AI Cognitive Frameworks
Strong understanding of Architectural Components of Agentic AI systems
Python, production-grade engineering practices

Job Responsibility

Multi-agent architecture & workflow orchestration: Define how agents work together (roles, shared context, coordination) and design orchestrated agent workflows for real business processes
Reusable patterns (avoid one-offs): Establish standard reference patterns and starter implementations so teams don’t build bespoke, hard-to-maintain AI solutions
Governance & compliance built-in: Embed practical controls (human-in-the-loop, approvals where needed) and ensure privacy/security expectations are met for sensitive/client data
Observability & production readiness: Ensure solutions have monitoring/telemetry and meet production standards for reliability and operational support
Enterprise integration & access control: Integrate agents with enterprise platforms/data sources and enforce entitlements/least-privilege access to prevent unintended exposure
Technical leadership & translation: Guide engineering teams, act as SME, and translate business objectives into scalable AI architecture that delivers measurable outcomes

Fulltime

AI Engineering Tech Lead - AI Foundations

monday.com is seeking an experienced, versatile AI Engineering Tech Lead to join...

Location

Israel , Tel-Aviv

Salary:

Not provided

monday.com

Expiration Date

Until further notice

Requirements

Strong technical skills and a passion for developing features end-to-end (client and server)
5+ years in Software Engineering roles
Strong experience building and owning production-grade, full-stack systems
Proven ability to design scalable systems and make sound architectural tradeoffs
Hands-on experience building or integrating AI agents and workflows
Comfort operating in ambiguous problem spaces with high business impact
Strong collaboration and communication skills when working with cross-functional teams
High ownership, accountability, and engineering standards
Degree in Computer Science (not a must
we're always looking for super talented people)

Job Responsibility

Design and develop scalable AI infrastructure that supports various AI products
Collaborate with cross-functional teams to integrate AI solutions into existing systems
Tackle complex engineering challenges and contribute to the evolution of our AI capabilities
Mentor junior engineers and share best practices to foster a culture of continuous learning
Designing, building, and owning systems that transform customer and business data into actionable insights
Building full-stack products and platforms that teams rely on for decision-making
Owning systems from data ingestion to user-facing experiences

Fulltime

Tech Lead, AI Research Scientist (Robotics)

Meta is seeking an AI Research Scientist to join Meta Superintelligence Labs. In...

Location

United States , Menlo Park

Salary:

219000.00 - 301000.00 USD / Year

Generative AI Tech Lead

Provectus is an AI-first consultancy that helps global enterprises adopt Machine...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in Machine Learning, Deep Learning, or NLP
2+ years in a technical leadership or team lead role
Strong expertise with LLMs (Hugging Face, OpenAI, Anthropic) and modern NLP stacks
Strong hands-on experience with AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, ECS/ECR)
Excellent Python engineering skills and proficiency with PyTorch or TensorFlow
Experience building ML systems in production, not just research
Solid knowledge of MLOps/LLMOps tools, pipelines, and deployment best practices
Strong architectural thinking and ability to design scalable ML systems
Excellent communication skills and ability to lead cross-functional teams
Passion for mentoring engineers and raising the technical bar

Job Responsibility

Lead, mentor, and grow a team of 5–10 ML, Data, and Software Engineers
Define and drive the technical roadmap for ML/AI initiatives
Foster a high-performance culture focused on ownership, learning, and engineering excellence
Work closely with Product, Data, and Platform teams to deliver end-to-end AI systems
Design, fine-tune, and deploy LLMs and ML models for real production use cases
Build systems for RAG, summarization, text generation, entity extraction, and other NLP/LLM workflows
Explore and implement emerging GenAI/LLM techniques and infrastructure
Contribute across the ML stack: NLP, deep learning, CV, RL, and classical ML
Architect and operate scalable ML/AI systems using AWS (SageMaker, Bedrock, Lambda, S3, ECS/ECR…)
Optimize model training, inference pipelines, and data workflows for scale, cost, and latency

What we offer

Sing-up bonus
10% Annual bonus
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Continuous learning support, including unlimited AWS certification sponsorship

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