Pitampura Delhi Delhi Lead ai engineer — agentic ai & machine Jobs – 8 Open Jobs Today

Lead AI Engineer — Agentic AI & Machine Learning
Trexova Wellbeing Pvt Ltd —Delhi, Delhi
- From ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
6d
AI Engineer - LLM / Agents (Delhi, In-Person)
Careerflow —Delhi, Delhi
- Full-time
- Hybrid work
- Master's degree
- Databases
- Machine learning
Lead AI Engineer (Agentic Systems)
S&P Global —Gurugram, Haryana
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Paid time off
Senior AI/ML Engineer – Conversational AI & Voice Platform (BFSI)
Leadflownex AI Technologies pvt ltd —Indian Habitat Centre, Delhi
- ₹60,000 - ₹90,000 a month
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Product Manager
Expertshub.ai —Delhi, Delhi
- Azure
- Computer Science
- PMP
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Domain Consultant - Identity Security
Palo Alto Networks —Delhi, Delhi
- Full-time
- Azure
- English
- Java
Manager - Digital Fabric
Tata Communications —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- ERP systems
13d

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Lead AI Engineer — Agentic AI & Machine Learning
Trexova Wellbeing Pvt Ltd —Delhi, Delhi
You can sit with an operations colleague, understand their real workflow, and turn it into an AI problem statement. This is not a research role.
From ₹25,00,000 a year
Quick apply
6d
AP - Senior AI Engineer (India) - Remote
D2B —Delhi, Delhi
Experience working with Human-in-the-Loop (HITL) workflows or AI-assisted automation solutions is an advantage.
₹1,55,000 - ₹3,90,000 a month
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Lead AI Engineer — Agentic AI & Machine Learning

Trexova Wellbeing Pvt Ltd
Delhi, Delhi

Quick apply

Job details

Full-time
From ₹25,00,000 a year
6 days ago

Qualifications

Azure
Law
MCP
Multilingual
Laravel
Master's degree
SQL
AWS
Machine learning
Natural language processing
APIs
AI
Leadership
Python

Full job description

About the role

We are a European travel operations business running group programmes across 23+ countries, on an ERP platform we built and own end to end.

We're hiring a Lead AI Engineer to own that layer and grow it. You'll report to the Director of IT and work directly with operations, sales and product. Decisions get made in the room; there is no committee between you and shipping.

This is not a research role. You will write production code, own system design, and operate what you build after launch. The work splits two ways: agentic systems that perform real operational work, and predictive models that inform commercial decisions.

Your first 90 days

Take ownership of our live extraction and document-understanding pipelines, and put proper evaluation and regression testing around them
Ship one new agent that removes a recurring manual workflow from an operations team
Deliver the first predictive model into production — most likely future price or booking forecasting

What you'll do

Agentic AI — primary focus

Design and ship production agents for document and email understanding, structured data extraction, and intelligent search across operational systems
Build multi-agent orchestration: planning and task decomposition, agent memory, state management, agent-to-agent handoffs
Define tool schemas and function contracts against backend services; enforce structured outputs and constrained decoding where determinism matters
Own context engineering — RAG pipelines, embeddings, hybrid semantic and keyword retrieval, context window management against cost and accuracy
Engineer for reliability: retries, idempotency, fallback chains, partial-failure handling, so agent failures degrade safely rather than corrupt operational data
Drive model strategy — selection and routing across capability tiers, prompt caching, batching, latency and cost optimisation at production scale
Build evaluation frameworks and regression suites; measure task completion and extraction accuracy; catch drift when prompts or models change
Design guardrails, telemetry and human approval gates for AI-initiated actions, aligned to EU AI Act Article 14

Predictive machine learning

Build forecasting and scoring models for commercial decisions — demand and booking pace by destination, season and source market; inventory utilisation risk; supplier reliability; cancellation probability; quote win-likelihood
Own the lifecycle: feature engineering, training, deployment, monitoring, drift detection, retraining
Know when a model genuinely beats a simple heuristic, and when it doesn't

What we're looking for

5+ years engineering experience, including 2+ years building LLM-backed features that real users depend on daily
Demonstrable production agentic work: multi-agent orchestration, tool use and function calling, RAG, agent memory, structured extraction, retry and fallback design
Solid classical ML — regression, gradient boosting, time-series forecasting — with sound judgement on when to apply it
Strong Python. You'll build in Python; our platform services are Laravel-based, so you'll design clean API contracts against them rather than rewriting them
Hands-on with a cloud AI platform — AWS Bedrock preferred; Azure OpenAI, Vertex AI or OpenAI equivalent considered
Production discipline: versioning and rollback for prompts and models, cost and latency budgets, monitoring and drift detection

Communication — specifically:

You can write a clear technical spec and a one-page decision memo
You can sit with an operations colleague, understand their real workflow, and turn it into an AI problem statement
You can explain to a non-technical stakeholder what a model can and cannot be trusted to do, including its failure modes
You can push back when something should be solved with deterministic code instead of AI

Nice to have

SQL and data modelling across relational and document stores. Travel, tourism or hospitality domain exposure. Multilingual NLP. Speech recognition. Experience with MCP or agent developer tooling. Prior mentoring or team leadership.

What we offer

Full ownership of the AI roadmap for a platform running a live, multi-country business — you set the direction, not a vendor
Real production traffic and real data from day one, not a sandbox
Direct line to the Director of IT and to operations leadership
Hybrid working from Delhi NCR
Health cover, leave policy and project based travel.

Pay: From ₹2,500,000.00 per year

Work Location: In person

Quick apply

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lead ai engineer — agentic ai & machine jobs in pitampura delhi delhi

Lead AI Engineer — Agentic AI & Machine Learning

AI Engineer - LLM / Agents (Delhi, In-Person)

Lead AI Engineer (Agentic Systems)

Senior AI/ML Engineer – Conversational AI & Voice Platform (BFSI)

Product Manager

Domain Consultant - Identity Security

Manager - Digital Fabric

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