Technical Team Lead – LLM Systems Jobs

AI/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML development, including leading technical teams
Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
Experience in Agentic AI
Experience in Computer Vision
Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)

Job Responsibility

Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
Mentor and lead a team of ML engineers, data scientists, and AI developers
Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
Optimize model performance, latency, reliability, and cost efficiency
Evaluate new AI frameworks, libraries, and models for integration into the stack
Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring

Fulltime

Technical Lead

At Spectro Cloud, we are in search of a talented individual to become an integra...

Location

United States , San Jose

Salary:

Not provided

Spectro Cloud

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or related technical field
8+ years of software development experience (or 6+ years with a Master's degree)
Strong LLM/GenAI fundamentals: Solid understanding of large language models, prompt engineering, embeddings, vector search, RAG systems, and lightweight fine-tuning (LoRA/PEFT preferred)
Python expertise: Proficiency in Python and hands-on experience with AI/ML libraries such as Hugging Face, PyTorch, LangChain, LangGraph, FastAPI, or similar frameworks
LLM deployment experience: Familiarity with Kubernetes-based inference stacks including vLLM, llm-d, TensorRT, PyTorch Serve, or comparable deployment frameworks
Proficiency in at least one modern programming language such as Go, Java, or equivalent
Solid understanding of containerization and orchestration concepts, including Kubernetes
Deep understanding of microservices architecture and REST API design principles
Experience designing and building scalable, cloud-native applications
Analytical problem-solving: Ability to debug model outputs, improve retrieval accuracy, optimize latency, and iterate quickly through experiments

Job Responsibility

Building production-grade AI systems - designing, implementing, and maintaining LLM-powered applications, agentic AI workflows, and RAG pipelines across multiple product use-cases
Actively participate in guided technical labs covering prompt engineering, vector databases, LLM deployment tooling, multi-agent orchestration, fine-tuning strategies, and evaluation techniques
Develop, refine, and operationalize LLM solutions, including prompt design, retrieval strategies, embedding pipelines, LangChain/LangGraph workflows, and API integrations using Python, Hugging Face, FastAPI, and similar frameworks
Ensuring the seamless operation of our platform through a combination of automation, scripting, and rigorous testing
Stay ahead of emerging AI trends - small models, efficient inference (vLLM/TensorRT), multimodal systems, on-device LLMs - and recommend tools, frameworks, or integrations that enhance our platform
Work closely with cross-functional teams to create scalable, dependable, and secure solutions that push boundaries
Stay current with industry trends and emerging technologies, thereby ensuring that our solutions remain innovative and ahead of the curve

Cto / Technical Co-founder – Ai

An elite AI engineering scale-up is launching a new enterprise-focused division ...

Location

United States , Raleigh–Durham

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

8+ years leading technical teams, ideally building or scaling new ventures
Proven track record of recruiting and developing top talent
Hands-on expertise with AI/LLM systems in production
Comfort engaging with C-suite executives and navigating enterprise environments
Entrepreneurial mindset with strong communication skills

Job Responsibility

Define the technical vision and delivery model for enterprise AI solutions
Recruit and lead a world-class engineering team
Partner with business leadership to secure large-scale contracts
Design and deliver production-grade AI systems that solve complex challenges
Stay ahead of the curve by turning emerging research into enterprise-ready applications

What we offer

Competitive salary
401k with matching
unlimited PTO
health coverage
significant equity
profit sharing model

Fulltime

Tech Lead

We are looking for a highly capable and experienced Tech Lead to guide our AI an...

Location

Poland

Salary:

Not provided

HSBC

Expiration Date

January 15, 2026

Requirements

Proven experience as a Tech Lead or Senior Engineer in AI/ML projects
Experience in leading, overseeing and shaping strategy for AI/ML implementation across the organization
Excellent leadership, communication, and stakeholder management skills: can present technical solutions, capabilities, considerations, and features to business parties
Ability to develop and maintain long term relationships with highly critical stakeholders internally and externally
Deep knowledge of LLM architectures, prompt engineering, and RAG
Strong coding skills in Python and working knowledge of SQL, GitHub, and CI/CD processes
Ability to manage multiple priorities and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM
Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system are followed by the team
Strong analytical and problem-solving skills, with the ability to synthesize complex information and make data-driven decisions to drive business outcomes

Job Responsibility

Lead the architecture and development of AI/ML solutions, with a focus on Large Language Models (LLMs), prompt engineering and RAG
Provide direction, oversee, and coordinate the implementation of AI/ML use cases across different team under Credit and Capital Management department
Active and engaged member of AI Communities / Forums at CIB Tech level
Be responsible for implementing and influence on strategic direction given by CIB AI team
Drive experimentation and innovation in NLP, ML, and AI technologies, ensuring alignment with business goals
Ensure adherence to ethical AI practices, focusing on fairness, transparency, and accountability
Provide hands-on technical leadership and mentoring to engineers and data scientists on the team
Collaborate with architects, product managers and business stakeholders to translate requirements into scalable technical solutions
Present complex technical solutions and roadmaps clearly to both technical and non-technical audiences
Create, lead and manage CIB CCM Tech AI Management Meetings

What we offer

Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Corporate parties & events
CSR initiatives
Nursery discounts

Fulltime

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

155000.00 - 175000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or machine learning (3+ years with a PhD)
Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
Deep expertise in NLP, sequence modeling, and transformer architectures
Proficient in Python and ML libraries such as PyTorch or TensorFlow
strong engineering skills in building scalable ML pipelines
Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
Proven ability to lead technical projects and collaborate across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field

Job Responsibility

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

Solution Architect for distributed AI Systems

In this role as Solution Architect, you will be at the forefront of our digital ...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

7+ years of experience in a solution architecture or technical lead role, with a strong focus on artificial intelligence, workflow orchestration and cloud platforms
Proven experience in designing and deploying large-scale AI powered products, strong understanding of modern AI concepts, retrieval-augmented generation (RAG) and agentic workflows
Experience in a cloud-native environment (Azure/GCP/AWS), event-driven architectures and hands-on experience in usage of LLMs, vector databases and API/MCP integrations
Demonstrated ability in stakeholder-facing roles, articulating complex technical concepts to non-technical audiences, and driving the strategic vision for AI adoption
Fluent English and Polish

Job Responsibility

Playing a pivotal role in AI transformation initiatives and focusing on the integration of AI & Agentic capabilities
Being responsible for delivering end-to-end solutions, from conceptualization and strategic design to proof-of-concept development, deployment and ongoing performance optimization
Collaborating closely with cross-functional teams (including data scientists, engineers, product managers, and business leaders) to translate business requirements into robust, scalable, and ethical AI architectures
Introducing cutting-edge AI frameworks, agentic design patterns and best practices, while guiding the organization on the responsible adoption of emerging AI technologies

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card
Number of benefits for families (for instance summer camps for kids)

Fulltime

Head of Forward-Deployed Engineering, DaaS

In this role, you will build and lead our forward-deployed engineering (FDE) tea...

Location

United States , New York City; Redwood City; San Francisco

Salary:

220000.00 - 330000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

7+ years of experience in applied data or ML engineering roles
2+ years leading high-performing technical teams in hands-on management capacity
Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows
Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)

Job Responsibility

Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact
Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality

What we offer

Equity in the form of employee stock options
Reasonable accommodation for individuals with disabilities

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

Technical Team Lead – LLM Systems

Balbix

Location:
India , Delhi NCR

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 23, 2025

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