Generative AI Engineer

Company Description

TalentBridge Global is a founder-led recruitment firm specializing in connecting exceptional professionals with world-class opportunities across IT and non-IT domains. As a leading talent acquisition and placement platform, the organization is committed to empowering businesses by matching them with top-tier talent globally. TalentBridge Global is dedicated to fostering strong collaborations and delivering recruitment solutions tailored to the unique needs of growing companies.

Tech Lead Gen AI/ Agentic AI Engineer

Employment Type: Full-Time

Location: Chennai

Experience: 6+ as Data Science/ Analytics/ ML

Relevant Experience: 2-3+ yrs as Gen AI / Agentic AI Engineer (Must have Agentic AI Langraph)

CTC: 25 LPA max

About the Role

We are looking for a Gen AI/ Agentic AI Engineer to drive the development of core platform capabilities. This is a hands-on leadership role involving LLM-based systems, AI-powered search, workflow automation, and full-stack platform development.

You will work on building scalable, high-performance AI-driven applications, while leading technical design and mentoring teams.

Senior Software Engineer (SSE)

Skills

GenAI Development & LLM Expertise, Natural Language Processing (NLP), Machine Learning & AI Model Deployment, LangChain, LangGraph, Vector Databases (Pinecone, Milvus, Neo4j), Speech-to-Text Technologies (Whisper, Google TTS), Backend Development (Python, Node.js, Spring Boot), Frontend Development (React.js, Angular, TypeScript), Microservices Architecture & API Development, CI/CD, DevOps (Jenkins, OpenShift, Kubernetes), AI-powered Search & Semantic Understanding, Dashboard Development & AI Monitoring (Splunk, AppDynamics).

Job Description

We are seeking a Senior Software Engineer (SSE) with expertise in AI/ML and Fullstack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions.

Responsibilities

Develop & Optimize Core AI/ML Features:

• Implement and optimize AI-powered automation modules, search systems, and data retrieval models.
• Develop LLM-driven applications using LangChain, RAG, and embedding-based techniques.
• Enhance workflow automation using Haystack, LangGraph, and Vector DBs.

Fullstack Platform Development:

• Build scalable microservices and event-driven architectures.
• Develop high-performance backend systems in Python, Java, and Node.js.
• Work on AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript.

AI Model Deployment & DevOps:

• Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms.
• Implement CI/CD pipelines, containerization, and scalable deployment strategies.

Technical Collaboration & Best Practices:

• Work closely with Tech Leads and AI engineers to ensure efficient and scalable implementations.
• Follow best practices in software engineering, AI model deployment, and fullstack architecture.
• Contribute to innovation in AI-based workflow automation and platform scalability.

Qualifications

Bachelors/Masters degree in Computer Science, AI, Machine Learning, or a related field.

6+ years of experience in AI/ML and fullstack development.

Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models.

Strong programming skills in Python, Java, Node.js, TypeScript.

Experience in cloud-based AI solutions (AWS, GCP, Azure).

Proficiency in microservices, REST/WebSockets, and real-time API development.

Knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines.

Hands-on experience in vector databases, RAG-based search, and AI-powered data retrieval.

Must-Have Skills:

Expertise in GenAI Development and Large Language Models (LLMs).

Proficiency in LangChain, Haystack, LangGraph for AI-driven workflow automation.

Strong understanding of Natural Language Processing (NLP) & semantic search optimization.

Experience in vector databases (Pinecone, Milvus, Neo4j) and graph-based AI solutions.

Hands-on experience with Speech-to-Text technologies (Whisper, Google Text-to-Speech).

Backend expertise in Java, Python, Node.js, Spring Boot.

Frontend skills with React.js, Angular, and TypeScript.

Proficiency in Microservices Architecture & API Development.

Experience with CI/CD, DevOps (Jenkins, OpenShift, Kubernetes).

Deep understanding of AI-powered Search & Semantic Understanding (HyDE, MMR, LLM reranking).

Preferred Skills:

Experience in AI-powered chatbot & IVR automation.

Proficiency in Dashboard Development & AI Monitoring (Splunk, AppDynamics, OpenTelemetry).