APIGEE Developer

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems

Job Details

- Job Title: Specialist I - Software Engineering-.Net Fullstack Lead-TVM

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 5-9 years

- Employment Type: Full Time

- Job Location: Trivandrum, Thiruvananthapuram

- CTC Range: Best in Industry

Job Description

· Minimum 5+ years experienced senior/Lead .Net developer, including experience of the full development lifecycle, including post-live support.

· Significant experience delivering software using Agile iterative delivery methodologies.

· JIRA knowledge preferred.

· Excellent ability to understand requirement/story scope and visualise technical elements required for application solutions.

· Ability to clearly articulate complex problems and solutions in terms that others can understand.

· Lots of experience working with .Net backend API development.

· Significant experience of pipeline design, build and enhancement to support release cadence targets, including Infrastructure as Code (preferably Terraform).

· Strong understanding of HTML and CSS including cross-browser, compatibility, and performance.

· Excellent knowledge of unit and integration testing techniques.

· Azure knowledge (Web/Container Apps, Azure Functions, SQL Server).

· Kubernetes / Docker knowledge. Knowledge of JavaScript UI frameworks, ideally Vue Extensive experience with source control (preferably Git).

· Strong understanding of RESTful services (JSON) and API Design.

· Broad knowledge of Cloud infrastructure (PaaS, DBaaS).

· Experience of mentoring and coaching engineers operating within a co-located environment. 

Skills: .Net Fullstack, Azure Cloudformation, Javascript, Angular

Must-Haves:

.Net (5+ years), Agile methodologies, RESTful API design, Azure (Web/Container Apps, Functions, SQL Server), Git source control

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Trivandrum

F2F Weekend Interview on 14th Feb 2026

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

About Cognida.ai:

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Position: Python Fullstack Architect

Location: Hyderabad

Job Summary

We’re seeking a seasoned Python Fullstack Architect with 15+ years of experience to lead solution design, mentor teams, and drive technical excellence across projects. You'll work closely with stakeholders, contribute to architecture governance, and integrate modern technologies across the stack.

Key Responsibilities

• Design and review Python-based fullstack solution architectures.
• Guide development teams on best practices, modern frameworks, and cloud-native patterns.
• Engage with clients to translate business needs into scalable technical solutions.
• Stay current with tech trends and contribute to internal innovation initiatives.

Required Skills

• Strong expertise in Python (Django/Flask/FastAPI) and frontend frameworks (React, Angular, etc.).
• Cloud experience (AWS, Azure, or GCP) and DevOps/CI-CD setup.
• Familiarity with enterprise tools: RabbitMQ, Kafka, OAuth2, PostgreSQL, MongoDB.
• Solid understanding of microservices, API design, batch/stream processing.
• Strong leadership, mentoring, and architectural problem-solving skills.

• Strong architecture and design skills and keen business sense. -
• Ownership of projects and technical areas. -
• Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
• Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
• Good knowledge of nodeJS/ noSQL a definite plus. -
• Good exposure to front end/UI skills (JS, HTML, Angular). -
• Good exposure to configuration management, testing, deployment. -
• Deep knowhow of data structures, algorithms. -
• Hands on development across technologies.
• Exp- 6-8 years.
• Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.

Senior Full Stack Engineer - TalkingYak

Talking Yak is an Android-based English teaching system made specifically for native Hindi and Tamil speakers.

Our program includes over 400 intelligently-structured videos, thousands of exercises, over 10,000 vocabulary words and phrases, and a system that adapts itself to each learner. In a matter of months, we can elevate most learners to a 100% functional English capability.

We are one team at TalkingYak consisting of honest, moral & ethical individuals who are heard and valued! We hold ourselves accountable- delivering on expectations & celebrating each other for the great work we do!

We’re looking for a senior developer who has a lot of passion towards solving real world problems using technology. 

Below are some of the developer qualities we like a lot,

• Good team player
• Ability to write clean readable code
• Good logical and problem solving skills
• Clear communication skills
• Never give up attitude
• Passionate to learn and acquire new skills

Our current technology stack includes Android, Python, Flask, MongoDB, RabbitMQ, ElasticSearch and AWS. While it is a bonus to have worked on the same set of above listed technologies, it is not a must until you have hands-on experience with similar technologies.

To give you an idea about what you will be working on after joining us, you will be

• Dockerizing different services and automating our AWS infrastructure provisioning steps
• Optimising our backend services to scale for a few hundreds of concurrent users
• Managing our backed service and adding new features to it
• Working on refactoring our current android codebase to a cleaner design
• Mentoring junior developers

While we feel a developer with 4 to 8 years of hands-on experience will be more suitable for this role, it shouldn't be a hard constraint if you have the required skills.

We would love to get in touch immediately and have a conversation, if you feel our interests align.

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.