Technical Team Lead – LLM Systems Job at Balbix (Delhi NCR)

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

Technical Lead - Full-Stack AI Engineer - Private Equity SaaS

Our client, a cutting-edge SaaS platform for private equity and venture capital,...

Location

United States , Chicago

Salary:

170000.00 - 200000.00 USD / Year

Selby Jennings

Expiration Date

Until further notice

Requirements

6+ years in full-stack development
Strong skills in Go, Python, Node.js, and modern frontend frameworks (React, Next.js.)
Hands-on with LLMs (OpenAI, Anthropic preferred) and vector search (Pinecone, pgvector.)
Experience deploying in cloud environments (AWS, Azure, GCP.)
Startup-ready: thrives in ambiguity and owns projects end-to-end while moving fast and not overthinking.

Job Responsibility

Build scalable full-stack applications integrating AI agents into a secure SaaS platform.
Develop and optimize LLM pipelines, prompts, and backend systems (Supabase, Postgres, vector DBs).
Architect APIs and microservices for data processing and retrieval.
Implement responsive, high-performance frontend interfaces for complex workflows.
Ensure compliance with SOC 2, GDPR, and SEC standards.
Collaborate with product and design teams to translate requirements into seamless user experiences.

What we offer

equity

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

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

Machine Learning Team Lead

TradingView is the world’s #1 platform for all things investing. 100M+ users tru...

Location

Cyprus; Georgia , Tbilisi

Salary:

Not provided

TradingView

Expiration Date

Until further notice

Requirements

2+ years of experience in managing technical teams with the ability to organize workflows and build effective processes
Deep understanding of the ML project lifecycle: from idea and prototype to production and maintenance
Strong knowledge of NLP/LLM technologies: text generation and classification, embeddings, RAG, and other modern techniques
Excellent communication skills and experience working with various teams (ML, backend, QA, product, analytics)
Ability to define and maintain roadmaps and make system-level engineering decisions
Experience in prioritization, risk assessment, and managing technical debt
Proficiency in Python and modern development tools (Git, CI/CD, Docker, Kubernetes)
Experience in operating ML systems in production (monitoring, metrics, A/B testing, incident handling)

Job Responsibility

Develop and enhance projects related to news processing (sentiment analysis, NER, classification, search, etc.)
Perform data analysis and preprocessing, prepare datasets, and build model pipelines
Design monitoring systems and evaluate the performance of ML systems
Lead a team of ML engineers working on NLP and LLM projects (news, content generation, recommendations, search, and chat systems)
Set tasks, prioritize work, manage deadlines, and ensure timely delivery
Collaborate with product and analytics teams to align goals and approaches
Support the technical growth of the team through mentoring, reviewing solutions, and assisting in system design
Improve development and deployment processes for ML solutions in production
Contribute to engineering efforts as a senior developer: design and implement key components, perform code reviews, and drive technical improvements

What we offer

Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups

Senior Principal Technical Program Manager - ML Platform

Location

Salary:

231300.00 - 301975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
Deep domain experience in AI and/or Search. Example: Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance, etc.
Partner with Engineering in defining direction, strategy and execution at Platform level
Strategic thinking and ability to understand business objectives to translate them into technical problems and programs.
Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc.
TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such.
Experience defining and running end-to-end complex technical programs
Strong leadership, organizational, and communication skills

Job Responsibility

Understand and stay up-to-date on latest innovations in AI and Search. Partner closely with engineering teams to translate these into practical platform evolution for Atlassian bringing value to our customers.
Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components.
Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment.
Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more.
Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems.
Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these.
Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc.
Manage complex dependencies and projects with a broad scope across the company

What we offer

health and wellbeing resources
paid volunteer days

Senior Staff Data Engineer - Agentic AI

As a Senior Staff Data Engineer – Agentic AI, you will operate as a senior indiv...

Location

India , Bengaluru Urban; CHENNAI

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

12+ years of experience building large-scale distributed systems
Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation
Fluency with AI-assisted and agentic development workflows
Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems
Ability to influence technical direction and align teams without formal authority
Experience in workflow engines, async processing, queues, and streaming systems

Job Responsibility

Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design
Design, build, and operate production-grade agentic AI systems used across multiple products
Own and evolve shared agentic AI capabilities, including: Agent frameworks and orchestration layers, Planning, tool use, and memory strategies, Retrieval and grounding (RAG) pipelines, LLM infrastructure, inference, and model gateways, Evaluation, observability, and safety tooling for autonomous systems
Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost
Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production
Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements
Mentor senior engineers and raise the technical bar for agentic AI development through example and influence

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

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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