{"id":1967463,"url":"https://alion.io/job/sentient-technologies-senior-backend-engineer","title":"Senior Backend Engineer","company":{"id":21243,"name":"Sentient Technologies","domain":"sentient.ai","url":"https://alion.io/company/sentient","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India","Delhi, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Google Bigtable","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-10-06T16:38:37Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-10T22:09:52Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Sentient\nSentient is advancing and empowering the development of open-source artificial general intelligence (AGI). We build research, products, and frameworks that help developers and researchers to push the boundaries of AI in the open. Our mission is to enable a future where the development of AGI is shaped by a broad community of contributors.\nBacked by leading investors including Founders Fund, Pantera, and Framework, we’re bringing together a team to tackle fundamental challenges in open-source AI. Join us to help build the tools and technology that make this future possible.\nResponsibilities\nDesign, implement, and maintain fault-tolerant core infrastructure for the Sentient platform\n\nArchitect and manage robust performance-critical backend services on AWS and GCP\n\nImplement serverless architectures and optimize cloud resource utilization\n\nImplement and maintain REST and Websocket APIs to provide data to AI applications\n\nCollaborate with cross-functional teams to define, design, and ship new features\n\nDesign and deploy scalable, reliable, and secure end-to-end AI workflows for Sentient products, including fine-tuning and inference pipelines for generative AI models\n\nDesign and implement custom AI agent frameworks and multi-agent systems from scratch\n\nDeploy, test, and follow proper release management processes to drive end-to-end services from dev to UAT to production\n\nDeploy services in accordance with security measures, including IAM, security groups, and encryption\n\nWrite comprehensive documentation to ensure reproducibility and transparency\n\nRequired Qualifications\n5+ years hands-on experience in developing large applications and designing end-to-end infrastructure\n\nDemonstrated mastery of the Python programming language\n\nExpertise in a lot of the AWS and GCP services:\n\nCompute: EC2, GCE, Lambda, Cloud Functions\nNetworking: VPC, Cloud VPN, Transit Gateway, Cloud Interconnect\n\nStorage: S3, Cloud Storage, EBS, Persistent Disk\n\nDatabases: RDS, Cloud SQL, DynamoDB, Bigtable\n\nContainerization: ECS, GKE, ECR, Container Registry\n\nServerless: Lambda, Cloud Functions, API Gateway, Cloud Run\n\nMonitoring: CloudWatch, Cloud Monitoring, CloudTrail, Cloud Audit Logs\n\nExpertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE)\n\nFamiliarity with Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager)\n\nUnderstanding of Generative AI, LLMs, datasets, fine-tuning, and AI inference\n\nProblem-solving mindset to navigate ambiguity in a fast-paced startup\n\nPassion for building revolutionary AI products\n\nValues\nAppreciate and pursue deep expertise\n\nEmbrace extreme ownership and bias for action\n\nWant to take risks and act upon ambition with integrity and empathy\n\nPursue relentless innovation and experimentation\n\nInvest in personal growth and team collaboration\n\nBenefits\nCompetitive salary, equity, and insurance\n\nFlexible PTO and WFH policy\n\nTop-of-the-line engineers and technology\n\nOpportunity to shape the direction of a pioneering open AI 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