IT - Technology Lead | Development Methodology | Infosys J2EE Development methodology

Ampcus Incorporated
Boston, MA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Cloud Engineering Information Systems Information Technology Consulting Data Security Distributed Systems Java Platform Enterprise Edition (J2EE) Monitoring of Systems Python (Programming Language) Machine Learning
+26 more
Language Modeling Natural Language Processing Process Driven Development OpenAI Tensorflow Scripting Pytorch Retrieval-Augmented Generation Large Language Models Prompt Engineering IT Architecture Generative AI Agentic-AI Fastapi AI Platforms Pyspark Real-time Inference Information Technology Deployment Automation HuggingFace Machine Learning Operations Virtual Agents Restful APIs Model Context Protocol Document Classification Docker

Requirements

Technical Leadership, Java Platform Enterprise Edition (Java EE/J2EE), Information Technology Consulting, Information Technology & Information Systems, Technical Leadership, Artificial Intelligence (AI), Python Programming/Scripting Language, Application Programming Interface (API), Natural Language Processing (NLP), Docker, * 8-10+ years (JD emphasizes 11+ years preferred)

Primary Skills:

  • AI/ML Engineering
  • Agentic AI
  • Generative AI & RAG
  • LangChain & LangGraph
  • Python
  • PyTorch
  • TensorFlow
  • PySpark
  • OpenAI APIs
  • Hugging Face Transformers
  • NLP
  • MLOps
  • FastAPI
  • Docker
  • Cloud-native Deployments, Should be a very competent and senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications using Python, PyTorch, TensorFlow, PySpark, OpenAI APIs, Hugging Face Transformers, with expertise in LLMs, prompt engineering, NLP, distributed computing, AI architecture design, real-time inference, MLOps and cloud-native deployments Machine Learning, along with strong experience in Responsible AI, model monitoring and scalable production AI platforms. Must carry the knowledge to design scalable model serving architectures using FastAPI, Docker, implementing low-latency REST APIs, auto-scaling inference endpoints, and resilient deployment strategies. Should have knowledge to build NLP and Generative AI pipelines using PyTorch, Hugging Face Transformers, enabling semantic analysis, text classification, embeddings generation, and intelligent document processing workflows. Must have know-how on AI agent workflows using LangChain Agents and the Model Context Protocol (MCP), establishing secure, standardized protocol layers for multi-step reasoning, dynamic tool orchestration, and enterprise-grade data access.

Minimum years of experience - 8-10 years

About the company

Bravens Inc., a wholly owned subsidiary of Ampcus Inc., is an information technology consulting and services company. Bravens is a leader in providing tailored staffing solutions across both IT and non-IT industries. We are in search of a highly motivated candidate to join our talented team and contribute to our ongoing success.

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