Job Title: Senior Python + GenAI Engineer
Key Skills: Python, Generative AI, LLMs, RAG, Vector Databases, Multi-Agent Systems, APIs, Prompt Engineering, AWS, Angular
Experience: 5+ years of experience
Location: LATAM
Mode: Remote
We at Coforge are hiring a Senior Python + GenAI Engineer (22266) with the following skill set.
Key Responsibilities
- Build and enhance AI Assistant capabilities, including chatbots and AI-powered workflows.
- Develop Generative AI solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines.
- Design and implement multi-turn conversational experiences and grounding logic.
- Develop and integrate APIs with payroll, time-off, HR, and other enterprise systems.
- Design and implement multi-agent AI systems to support complex business workflows.
- Collaborate with product and engineering teams to translate business requirements into scalable AI solutions.
- Implement observability and evaluation mechanisms to monitor and improve AI application performance.
- Contribute to prompt engineering, model evaluation, and continuous improvement of GenAI solutions.
Required Skills & Qualifications
- 5+ years of professional experience in software development, with strong expertise in Python.
- Hands-on experience developing solutions using LLMs and Generative AI frameworks.
- Practical experience with RAG architectures and vector databases.
- Strong experience developing and integrating APIs.
- Understanding of prompt engineering and LLM evaluation frameworks, including RAGAS or similar tools.
- Experience with multi-agent systems and AI-assisted workflows.
- Experience with observability and evaluation frameworks for AI applications.
- Understanding of conversational AI, grounding, and multi-turn interactions.
- Experience working with cloud environments, preferably AWS.
- Ability to collaborate effectively with product and engineering teams.
- Strong English communication skills.
Preferred Skills:
- Exposure to Angular or other modern frontend technologies.
- Experience integrating AI solutions with enterprise HR, payroll, or business systems.
- Experience with advanced RAG techniques and vector search optimization.
- Familiarity with AI evaluation, monitoring, and observability best practices.
- Experience with cloud-native AI/ML architectures on AWS.
Posted On: 13-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- 5+ years of professional software development experience with strong expertise in Python.
- Hands-on experience developing solutions using LLMs and Generative AI frameworks.
- Practical experience with RAG architectures and vector databases.
- Strong experience developing and integrating APIs.
- Understanding of prompt engineering and LLM evaluation frameworks (including RAGAS or similar).
- Experience with multi-agent systems and AI-assisted workflows.
- Experience with observability and evaluation frameworks for AI applications.
- Understanding of conversational AI, grounding, and multi-turn interactions.
- Experience working with cloud environments, preferably AWS.
- Ability to collaborate effectively with product and engineering teams.
- Strong English communication skills.
- Exposure to Angular or other modern frontend technologies.
- Experience integrating AI solutions with enterprise HR, payroll, or business systems.
- Experience with advanced RAG techniques and vector search optimization.
- Familiarity with AI evaluation, monitoring, and observability best practices.
- Experience with cloud-native AI/ML architectures on AWS.
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
