Agentic AI Developer

InfoVision, Inc.
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Tech stack

Artificial Intelligence
Google BigQuery
Business Software
Python
Knowledge Management
Machine Learning
Redis
Software Engineering
SQL Databases
Systems Architecture
Google Cloud Platform
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Information Technology
Virtual Agents
Software Coding
Automation Anywhere

Job description

As an Agentic AI Developer, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand goals, break them into actionable steps, and adapt their behavior in dynamic environments. This role requires a blend of deep LLM knowledge, advanced software engineering, systems architecture and hands-on coding experience., * Collaborate closely with the team to rapidly gather requirements from leadership and stakeholders, translate those requirements into concrete proposals and implement them.

  • Work closely with stakeholders and data scientists to rapidly discover various workflows within the customer service functions and translate them into AI Workflows, either user ML/Agentic AI approaches or capturing the workflows based on discussions with the SMEs

  • The workflows have to validated by collaborating with various stakeholders and SMEs

  • The workflows have to be translated into a format that is fit for consumption by Agentic AI solutions.

  • The workflows have to implemented into Agentic AI solutions

  • Performance Measurement

  • Gather feedback from stakeholders and continuously improve the solution

Requirements

  • Required: SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases

  • Bonus: Redis, Context Engineering, multi-agent systems

Qualifications

  • Education: A B.S. or M.S. in Computer Science, AI, or a related field is preferred.

  • Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on agentic AI or GenAI applications.

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