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While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, lea…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, lea…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, lea…
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Full-time
Posted 14d ago
~40 hrs/week
Responsibilities
Develop and deploy advanced GenAI applications and RAG pipelines using AWS Bedrock and foundation models. Design and orchestrate AI agents and workflow solutions to automate customer queries and knowledge base management.
Requirements
Requires 3-6 years of experience with Python, AWS services, and Agentic AI frameworks like LangChain or CrewAI. Strong proficiency in LLM development, vector-based retrieval, and secure AI application architecture is essential.
Full job description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role : Senior Machine Learnings Engineer (AWS)
Experience : 3-6 Years
Location : Mumbai/Bangalore
Must have skills:
Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks.
Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts).
AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet.
LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications.
ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval.
Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration.
AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions.
Experience with document parsing, chunking, vectorizing and re-ranking strategies.
Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications.
AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker.
Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines.
Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus.
Good to have skills:
Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images.
Hands-on experience with Bedrock Agentcore
Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models.
Experience with Docker, Kubernetes, and MLOps practices.
Experience with Redshift, SQL, DynamoDB, or AWS Glue.
Exposure to model monitoring, evaluation, and observability for GenAI applications.
Ability to work in an Agile and DevOps environment.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Reimagining businesses for the AI era with AI-first digital engineering
Industry
IT Services and IT Consulting
Company size
1,001-5,000 employees
Founded
2013
Headquarters
Marlborough, Massachusetts
LinkedIn followers
506,087
Total funding
$23M
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at www.quantiphi.com.
Offices: 33 Boston Post Road West, Suite 600, Marlborough, Massachusetts 01752, US · 2nd Floor, C Wing, Eureka Towers, Mindspace, Malad-West, Mumbai, Maharashtra 400064, IN · 8th floor, Trifecta Adatto, No. 21, ITPL Main Rd, Garudachar Palya, Mahadevapura,, Bengaluru, Karnataka 560048, IN · 119 Spadina Ave, Toronto, Ontario M5V 2L1, CA · 4365 Route 1 South, Princeton, NJ 08852, New Jersey, US
Big DataDecision SciencePredictive AnalyticsMachine LearningConsultingAIData AnalyticsDeep LearningGenerative AILLMs
Reimagining businesses for the AI era with AI-first digital engineering
Industry
IT Services and IT Consulting
Company size
1,001-5,000 employees
Founded
2013
Headquarters
Marlborough, Massachusetts
LinkedIn followers
506,087
Total funding
$23M
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at www.quantiphi.com.
Offices: 33 Boston Post Road West, Suite 600, Marlborough, Massachusetts 01752, US · 2nd Floor, C Wing, Eureka Towers, Mindspace, Malad-West, Mumbai, Maharashtra 400064, IN · 8th floor, Trifecta Adatto, No. 21, ITPL Main Rd, Garudachar Palya, Mahadevapura,, Bengaluru, Karnataka 560048, IN · 119 Spadina Ave, Toronto, Ontario M5V 2L1, CA · 4365 Route 1 South, Princeton, NJ 08852, New Jersey, US
Big DataDecision SciencePredictive AnalyticsMachine LearningConsultingAIData AnalyticsDeep LearningGenerative AILLMs