AI Engineer

HTC Global

Bengaluru

Híbrido

INR 1 800 000 - 2 800 000

Tempo integral

Há 5 dias
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Vantagens oferecidas por esta oferta de emprego

Hybrid and Workplace flexibility
Work-Life Balance
Well-defined career development plan
Rewards & Recognition program
L&D focuses on upskilling
Hands-on experience on Emerging Tech

Resumo da oferta

HTC Global Services is seeking a Gen AI Engineer/Senior Engineer/Lead with hands-on experience in building and deploying Agentic AI systems. You will design, implement and scale autonomous agents that plan, execute and refine tasks across enterprise use cases.

Ideal candidates have 5+ years in AI/ML, with GenAI focus, and experience deploying on AWS/Azure/GCP. Hybrid work arrangement and ongoing upskilling opportunities are offered.

Qualificações

  • Minimum 5–7 years in AI/ML development with strong Python skills.
  • 5+ years in AI/ML/GenAI domains, with at least 2 years in Generative AI.
  • Strong understanding of LLM architectures, Agentic AI, prompt engineering, RAG pipelines, and memory systems.

Responsabilidades

  • Design and develop Agentic AI architectures using LLMs, planning modules, memory stores, and tool integration frameworks.
  • Implement task orchestration, decision reasoning, and self-reflection within autonomous agents.
  • Work with multi-agent workflows involving planning, tool use, dialogue, and adaptive learning loops.
  • Integrate and fine-tune LLMs (GPT, Llama, Claude, etc.) for use in agent workflows.
  • Collaborate with product and platform teams to deploy solutions on cloud environments (AWS, Azure, GCP).
  • Contribute to solution accelerators, reusable frameworks, and reference architectures for Gen AI use cases.
  • Optionally contribute to MLOps/LLMOps pipelines for continuous model integration, evaluation, and monitoring.

Conhecimentos

Python
GenAI
LLM Architectures
RAG pipelines
Prompt engineering
LangChain
AutoGen
CrewAI
Semantic Kernel
Transformers
HuggingFace
OpenAI API
Cloud platforms

Ferramentas

LangChain
AutoGen
CrewAI
Semantic Kernel
Transformers
HuggingFace
OpenAI API

Descrição da oferta de emprego

Location: Bangalore (KA) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Hybrid | Job Code: 244040

Job Description:

About the Role:

We are seeking a passionate and innovative Gen AI Engineer / Senior Engineer / Lead with hands‑on experience in building and deploying Agentic AI systems. As a core member of our team, you will design, implement, and scale intelligent agents that autonomously plan, execute and refine tasks across diverse enterprise use cases.

AI Engineers with 5+ years of expertise in designing, developing and implementing advanced AI models and algorithms, with a strong focus on Generative AI, Retrieval-Augmented Generation (RAG), context engineering.

If you are excited about shaping the future of autonomous AI solutions and have experience in at least one cloud platform, we’d love to hear from you!

Key Responsibilities:

  • Design and develop Agentic AI architectures using LLMs, planning modules, memory stores, and tool integration frameworks.
  • Implement task orchestration, decision reasoning, and self-reflection capabilities within autonomous agents.
  • Work with multi‑agent workflows involving planning, tool use, dialogue, and adaptive learning loops.
  • Integrate and fine‑tune LLMs (GPT, Llama, Claude, etc.) for use in agent workflows.
  • Collaborate with product and platform teams to deploy solutions on cloud environments (AWS, Azure, GCP).
  • Contribute to solution accelerators, reusable frameworks, and reference architectures for Gen AI use cases.
  • Optionally contribute to MLOps/LLMOps pipelines for continuous model integration, evaluation, and monitoring.

Required Skills & Experience:

  • Minimum 5 years to 7 years in AI/ML development with strong Python skills.
  • At least 5+ years of experience in AI/ML/GenAI domains, with at least 2 year of experience in Generative AI.
  • Strong understanding of LLM architectures, Agentic AI, prompt engineering, RAG pipelines, and memory systems (e.g., vector DBs).
  • Experience in building agents using frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.
  • Proficiency in Python and relevant Gen AI libraries (Transformers, HuggingFace, OpenAI API, etc.).
  • Experience deploying solutions on at least one cloud platform (AWS, Azure, or GCP).
  • Strong problem‑solving skills and ability to work in a fast‑paced, agile environment.

Nice to Have:

  • Experience with MLOps or LLMOps pipelines (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Weights & Biases).
  • Knowledge of secure deployment, prompt injection prevention, and observability in Gen AI systems.
  • Familiarity with Open‑Source LLM hosting and model serving frameworks.

At HTC Global Services, our culture is an embodiment of who we are – a value‑led organizationcommitted to success of our people and customers.

  • Hybrid and Workplace flexibility
  • Work-Life-Balance
  • Well‑defined career development plan
  • Rewards & Recognition program
  • L&D focuses on upskilling
  • Hands‑on experience on Emerging Technologies and Digital Transformation
  • Career Mobility programs
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