Senior Salesforce Developer

The Role

You own AI systems end to end. From the speech-to-text models that turn audio into text, to the diarization that separates and identifies speakers, to the agentic layer that turns conversation into memory and action, to the observability and evaluation that keep all of it honest in production. This is a wide role by design. You will own model selection, serving, and production reliability. If you want to tune one model and ignore the system around it, this is not the role.

What You Will Own

•     Speech-to-text. Evaluate, integrate, and optimize STT models across cloud and self-hosted. Drive accuracy and cost trade-offs with ground-truth metrics.

•     Speaker diarization and identification. Push accuracy on hard, real-world, multi-speaker audio.

•     Agentic AI. Build the memory and retrieval pipeline, LLM orchestration, and the agent workflows that sit on top of captured conversation.

•     Model serving and infrastructure. Stand up and optimize self-hosted serving (vLLM, Triton class). Own latency, throughput, and cost per user.

Observability

An always-on wearable means models run in production every second, on messy real-world audio. You own the visibility into that.

•     Instrument the full audio-to-memory pipeline: STT, diarization, retrieval, and LLM calls.

•     Define and track model-quality SLOs in production: transcription drift, diarization error over time, retrieval relevance, latency, throughput, and cost per user.

•     Build dashboards and alerting so model degradation is caught before users feel it.

•     Trace failures across a distributed, always-on system using metrics, logs, and traces.

•     Close the loop. Production signals feed back into evaluation and model selection.

Evaluation

We do not ship what we cannot measure. You own the systems that prove a model is actually better, not just newer.

•     Build and own ground-truth evaluation harnesses for every model in the stack.

•     Measure with real metrics: WER for transcription, DER for diarization, Recall and F1 for retrieval and speaker identification.

•     Build and maintain labeled benchmark datasets that reflect real, messy, multi-speaker audio.

•     Run regression and A/B evaluations on every model swap, prompt change, or pipeline update. Nothing ships on a vibe.

•     Reject anecdotal proxies, single confidence scores, and cherry-picked examples as evidence of quality.

What We Are Looking For

•     3 to 5 years as an AI/ML engineer with production systems behind you. Engineering and production experience is non-negotiable.

•     Depth across the modern AI stack: LLMs, speech models, vector retrieval, model serving.

•     Strong software engineering. You write code that ships and survives contact with real users.

•     Fluency in Python and the production ML ecosystem.

•     Comfort with cloud infrastructure (GCP a plus) and containerized deployment on Kubernetes.

•     A working command of observability and evaluation. You measure first and trust metrics over intuition.

•     First-principles reasoning and metric discipline.

Nice to Have

•     Research background or publications. A strong signal, not a substitute for production work.

•     Audio and speech ML experience (STT, diarization, voice).

•     Experience self-hosting and optimizing open models.

•     Experience with LLM gateway and agent orchestration patterns.

•     Experience building eval harnesses or production model-monitoring systems.

Requirements

Agentic work is must. Audio is good to have

. Self hosting models is a must

 Experience with LLM gateway and agent orchestration is a must have

Strong B2B Product Manager profiles

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on Product Management experience in B2B SaaS

Mandatory (Experience 2) – Must have minimum 2 years of prior experience in Software Development or QA (Can be skipped if candidate has product management experience in PureTech company OR in same product line as Callhub)

Mandatory (Experience 3) – Proven track record of shipping successful products end-to-end, from ideation / conception to launch and post-launch iteration

Mandatory (Education) - Candidate must have an engineering background (B.E/ B.Tech /M.Tech)

Mandatory (Location) - Candidate must be from Bengaluru

Mandatory (Company) - B2B SaaS (Highly preference for CommunicationTech)

Mandatory (Note): This is an IC role

Key Skills Required: Areas of expertise / skills

 Knowledge of design & estimation of MCC, PLC, cabling, instruments  Should have worked in process & proposal department for E&I estimation

 Have good experience of understand tender specifications and able to estimated E&I part based on the inputs given

 Good communication skills with vendors & clients

 Experience of Handling Large Projects is must (>20Cr.)

Key Accountabilities: List the key areas of responsibility

 Preparation of techno commercial offer for E&I part WTP & recycle plants.

 Understanding specifications and able to optimize the cost of E&I

 Preparation of basic engineering package E&I for WTP like PID

 Should aware the vendor data base for Electrical & Automation

 Attend the technical meetings with client/consultant

Job Brief:

We are looking for a Business Development Representative professional preferably with

prior experience in the B2B industry who is open to joining us within the next 15 days. We

expect him/her to be comfortable with computer applications and software. A quick learner having an energetic positive personality would be ideal for the role. Experience in any of the following roles will be helpful: School admissions team, front office executive, Receptionist, B2B inside sales, event management, corporate gifting, high end retail sales, cafe barista, HR recruiter, BPO call centre job, etc.

About the firm:

NVS is a 17-year-old people transportation firm that caters to over 30+ schools and

corporations that include thousands of employees and parents, currently resulting in over

20000+ Daily active users. We also have a software business that is 4 years old. We are an

ever-growing firm with a pan-India but Bangalore-heavy presence and are constantly

innovating. We pride ourselves on providing top-notch feature-rich products and

customer-centric reliable services. We are rapidly expanding to top schools, corporations,

and new cities, keeping kids safe, employees reaching the office on time and parents

reassured.

Job Responsibilities:

Your KRA would be - generating leads and enriching them by calling.

And your KPI would be connected call hours(100min - 200rs/day incentive)

Job Role:

The role involves managing leads on Zoho CRM and mainly includes calling them

regularly to identify requirements. It may involve the following but is not limited to:

1. Generating leads

2. Enriching them by browsing the internet/calling

3. Coordinating with the sales team and customers

4. Preparing and sending proposals.

5. Following up with customers on the proposals sent out, etc

6. Making reports for weekly meetings.

Pre-Requisites:

● Relevant experience > 6 months

● South Languages: More the better

● Prior experience in (KPO/BPO/ telemarketing/ inside sales/ recruitment)

● Prior experience with apps like google sheets, slides & CRMs

● Understanding of the B2B sales process

● Good written and oral communication skills.

Why join this role:

NVS Travel Solutions is actively growing creating many opportunities for vertical promotions. The job security is high and the company has an environment of recognizing and rewarding performance. This company is a great place to learn and grow continually.

We are looking for a driven, curious and sincere full-stack software engineer having 0-2 years of professional experience. They will be assigned to a 0 to 1 project which presents a great opportunity to learn and grow.

Roles & Resposibilities:

• You will be involved in full-stack development
• Working on relational as well as non-relational databases.
• Writing and maintaining high-quality code.
• Learning the code base and improving your coding skills.

Desired skills and qualities:

• Bachelor degree in computer engineering or related field.
• Atleast 6 months of full-time or internship experience in Javascript.
• Data structures and algorithms.
• Strong understanding of object-oriented programming.
• Ability to communicate ideas clearly(verbal/written).
• HTML and CSS.