What are the responsibilities and job description for the Senior Agentic AI Developer position at InfoVision Inc.?
Agentic AI developer
Irving, TX (3 days onsite in a week)
Longterm Contract
Job Descriptio
nAs 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
.
Skil
- lsRequired: SQL/Bigquery/GCP, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databas
- esBonus: Redis, Context Engineering, multi-agent syste
ms
Qualificati
- onsEducation: A B.S. or M.S. in Computer Science, AI, or a related field is preferr
- ed.Experience: 4 years in AI/ML engineering are preferred, with 1 years specifically focused on agentic AI or GenAI applicatio
ns.
Responsibili
- tiesCollaborate closely with the team to rapidly gather requirements from leadership and stakeholders, translate those requirements into concrete proposals and implement t
- hem.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
- SMEsThe workflows have to validated by collaborating with various stakeholders and
- SMEsThe workflows have to be translated into a format that is fit for consumption by Agentic AI soluti
- ons.The workflows have to implemented into Agentic AI solut
- ionsPerformance Measure
- mentGather feedback from stakeholders and continuously improve the solu
tion
Feednack from the c
- lient:Although he has technical knowledge, he lacks practical working experience in Agentic AI, such as creating complex agentic workflows, evaluating output, and enhancing the existing system's perfor
- mance.The same applies to traditional ML, he lacks experience in making decisions on model selection, understanding loopholes, and enhancing model performance based on business prior
- ities.His SQL knowledge is li