Senior AI Engineer & Technical Lead

Akoode Technologies Pvt. Ltd.; Gurgaon; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Akoode Technologies Pvt. Ltd. is seeking a Senior AI Engineer & Technical Lead to own the design, development, and delivery of AI-powered products.

This hands-on leadership role requires translating business needs into scalable AI solutions while mentoring a team of AI/ML engineers and developers. You will work with clients and product managers to lead architecture, development, and deployment of AI systems, including LLM-powered apps, AI agents, and RAG workflows, ensuring scalability,

Qualifications

• 5+ years of experience in AI/ML engineering or software engineering
• Experience with Generative AI and Large Language Models (LLMs)
• Strong understanding of RAG, embeddings, vector databases, prompt engineering, and AI agents
• Experience with frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies
• Experience with OpenAI, Anthropic, Gemini, or other modern LLM APIs
• Strong understanding of ML and DL concepts
• Experience with APIs, microservices, and AI application architecture
• Experience with PostgreSQL, MongoDB, or similar databases
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Strong Git and software development practices
• Experience deploying AI solutions into production
• Excellent problem-solving and communication skills

Responsibilities

• Lead AI architecture, development, and deployment of AI/ML solutions
• Design and implement LLM-powered applications, AI agents, and RAG systems
• Evaluate models, frameworks, APIs, and technologies for production readiness
• Mentor engineers and review technical design and code
• Collaborate with managers and stakeholders to manage project priorities

Skills

AI/ML engineering

Generative AI

LLMs

RAG

Embeddings

Vector databases

Prompt engineering

AI agents

LangChain

OpenAI APIs

ML concepts

APIs & microservices

PostgreSQL

MongoDB

AWS

Azure

GCP

Git

Production deployments

Tools

LangChain

LlamaIndex

LangGraph

Docker

Kubernetes

CI/CD

REST APIs

PostgreSQL

MongoDB

AWS

Azure

GCP

Job description

We are looking for a highly skilled Senior AI Engineer & Technical Lead to join our AI engineering team and take ownership of the design, development, and delivery of AI-powered products and solutions.

This is a hands-on leadership role. You will work closely with clients, product managers, and engineering teams to translate business requirements into scalable AI solutions while leading a team of AI/ML engineers and developers.

The ideal candidate has strong experience in Generative AI, LLMs, AI Agents, RAG, Machine Learning, NLP, and AI application development, along with the ability to manage projects and mentor engineers.

Key Responsibilities

AI & Technical Leadership

Lead the architecture, development, and deployment of AI/ML solutions.

Design and implement LLM-powered applications, AI agents, RAG systems, and intelligent automation solutions.

Evaluate and select appropriate AI models, frameworks, APIs, and technologies.

Develop production-ready AI systems with a focus on scalability, reliability, security, and performance.

Establish coding, testing, documentation, and AI engineering best practices.

Conduct technical reviews and provide architectural guidance to the engineering team.

Lead a team of AI engineers, ML engineers, and developers across projects.

Break project requirements into technical tasks, milestones, and deliverables.

Assign work, track progress, identify technical risks, and ensure timely delivery.

Mentor junior and mid-level engineers and support their technical growth.

Review code, architecture, and technical implementations.

Collaborate with project managers and stakeholders to manage project priorities and expectations.

Client & Solution Development

Participate in client discussions, requirement gathering, and technical discovery sessions.

Convert business problems into practical AI-driven solutions.

Prepare technical approaches, solution architectures, estimates, and project plans.

Present AI solutions and technical recommendations to clients and internal stakeholders.

Stay current with emerging AI technologies and identify opportunities to integrate them into client solutions.

Required Skills

5+ years of experience in AI/ML engineering or software engineering, with significant hands-on AI experience.

Experience with Generative AI and Large Language Models (LLMs).

Strong understanding of RAG, embeddings, vector databases, prompt engineering, and AI agents.

Experience with frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies.

Experience working with OpenAI, Anthropic, Gemini, or other modern LLM APIs.

Strong understanding of Machine Learning and Deep Learning concepts.

Experience with APIs, microservices, and AI application architecture.

Experience with databases such as PostgreSQL, MongoDB, or similar.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong Git and software development practices.

Experience deploying AI solutions into production.

Excellent problem-solving and communication skills.

Preferred Skills

Experience building AI Agents and Agentic Workflows.

Experience with multi-agent systems.

Experience with computer vision, NLP, recommendation systems, or predictive analytics.

Experience with Docker and CI/CD.

Experience with Kubernetes or cloud-native architectures.

Familiarity with MLOps and model monitoring.

Experience integrating AI into web or mobile applications.

Experience working directly with international clients.

Previous experience leading an AI engineering team.

What We’re Looking For

We are looking for someone who can operate at both engineering and leadership levels.

You should be comfortable going from:

You should be a strong individual contributor who can also take ownership of the technical direction and delivery of AI projects.

What You’ll Get

Opportunity to work on real-world Generative AI, AI Agent, LLM, and automation projects.

Leadership responsibility across AI engineering projects.

Opportunity to work directly with international clients and stakeholders.

Exposure to emerging AI technologies and enterprise AI use cases.

A collaborative environment with opportunities for technical and career growth.

Opportunity to build and lead high-performing AI engineering teams.