What are the responsibilities and job description for the Generative AI Engineer position at Techgene Solutions?
Senior Software Engineer (AI / AWS / Generative AI)
Location: Fort Mill, SC or Austin TX (Hybrid – 2-3 Days Onsite)
Duration: 12 Month Contract (Potential Extension or Conversion)
Key Responsibilitie
- sDesign, develop, and deploy AI/ML solutions using AWS cloud technologies and AWS Bedroc
- kBuild AI agents, copilots, and generative AI workflows utilizing foundation models and enterprise AI framework
- sIntegrate AI capabilities into existing enterprise applications and platform
- sDevelop scalable APIs, orchestration layers, and automation workflow
- sCollaborate with technical leads, architects, and engineering teams across multiple location
- sOptimize AI application performance, reliability, scalability, and securit
- yParticipate in architecture discussions, technical design reviews, and AI solution assessment
- sSupport rapid prototyping and proof-of-concept development for business initiative
- sTranslate business requirements into scalable technical solution
- sWork within Agile development environments and contribute to sprint planning and deliver
y
Required Qualificatio
- nsStrong hands-on experience with AWS cloud technologi
- esProven experience with AWS Bedrock and Generative AI developme
- ntExperience building AI agents, copilots, or conversational AI applicatio
- nsStrong programming experience wit
- h:.NET /
- C#Pyth
- onExperience wit
- h:REST AP
- IsMicroservic
- esCloud-native architectur
- esFamiliarity wit
- h:Prompt engineeri
- ngRetrieval-Augmented Generation (RA
- G)Vector databas
- esLLM integratio
- nsStrong communication and collaboration skil
- lsAbility to work independently and deliver under tight deadlin
- esExperience working in Agile development environmen
ts
Preferred Qualificati
- onsExperience supporting enterprise AI implementati
- onsFamiliarity wi
- th:LangCh
- ainAI orchestration framewo
- rksAgentic AI platfo
- rmsExperience wi
- th:Dev
- OpsCI/CD pipeli
- nesInfrastructure-as-C
- odePrior experience working with distributed engineering te
- amsExperience supporting AI demos, presentations, or conference initiati
ves
Key Technolo
- giesAWS Cloud Serv
- icesAWS Bed
- rockGenerative AI /
- LLMsPy
- thon.NET
- / C#REST
- APIsMicroserv
- icesVector Datab
- asesRAG Architect
- uresLangC
- hainCI/CD & DevOps T
ools
Ideal Candidate Pr
- ofileStrong hands-on AI engineer with enterprise cloud exper
- ienceComfortable operating in fast-paced, delivery-focused environ
- mentsStrong technical interview and assessment capabil
- itiesSelf-starter capable of rapid prototyping and exec
- utionStrong collaborator with excellent communication s